42 research outputs found

    Combinations of Host Biomarkers Predict Mortality among Ugandan Children with Severe Malaria: A Retrospective Case-Control Study

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    Background: Severe malaria is a leading cause of childhood mortality in Africa. However, at presentation, it is difficult to predict which children with severe malaria are at greatest risk of death. Dysregulated host inflammatory responses and endothelial activation play central roles in severe malaria pathogenesis. We hypothesized that biomarkers of these processes would accurately predict outcome among children with severe malaria. Methodology/Findings: Plasma was obtained from children with uncomplicated malaria (n = 53), cerebral malaria (n = 44) and severe malarial anemia (n = 59) at time of presentation to hospital in Kampala, Uganda. Levels of angiopoietin-2, von Willebrand Factor (vWF), vWF propeptide, soluble P-selectin, soluble intercellular adhesion molecule-1 (ICAM-1), soluble endoglin, soluble FMS-like tyrosine kinase-1 (Flt-1), soluble Tie-2, C-reactive protein, procalcitonin, 10 kDa interferon gamma-induced protein (IP-10), and soluble triggering receptor expressed on myeloid cells-1 (TREM-1) were determined by ELISA. Receiver operating characteristic (ROC) curve analysis was used to assess predictive accuracy of individual biomarkers. Six biomarkers (angiopoietin-2, soluble ICAM-1, soluble Flt-1, procalcitonin, IP-10, soluble TREM-1) discriminated well between children who survived severe malaria infection and those who subsequently died (area under ROC curve>0.7). Combinational approaches were applied in an attempt to improve accuracy. A biomarker score was developed based on dichotomization and summation of the six biomarkers, resulting in 95.7% (95% CI: 78.1-99.9) sensitivity and 88.8% (79.7-94.7) specificity for predicting death. Similar predictive accuracy was achieved with models comprised of 3 biomarkers. Classification tree analysis generated a 3-marker model with 100% sensitivity and 92.5% specificity (cross-validated misclassification rate: 15.4%, standard error 4.9%). Conclusions: We identified novel host biomarkers of pediatric severe and fatal malaria (soluble TREM-1 and soluble Flt-1) and generated simple biomarker combinations that accurately predicted death in an African pediatric population. While requiring validation in further studies, these results suggest the utility of combinatorial biomarker strategies as prognostic tests for severe malaria

    Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

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    BackgroundDisorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021.MethodsWe estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous system combined.FindingsGlobally, the 37 conditions affecting the nervous system were collectively ranked as the leading group cause of DALYs in 2021 (443 million, 95% UI 378–521), affecting 3·40 billion (3·20–3·62) individuals (43·1%, 40·5–45·9 of the global population); global DALY counts attributed to these conditions increased by 18·2% (8·7–26·7) between 1990 and 2021. Age-standardised rates of deaths per 100 000 people attributed to these conditions decreased from 1990 to 2021 by 33·6% (27·6–38·8), and age-standardised rates of DALYs attributed to these conditions decreased by 27·0% (21·5–32·4). Age-standardised prevalence was almost stable, with a change of 1·5% (0·7–2·4). The ten conditions with the highest age-standardised DALYs in 2021 were stroke, neonatal encephalopathy, migraine, Alzheimer's disease and other dementias, diabetic neuropathy, meningitis, epilepsy, neurological complications due to preterm birth, autism spectrum disorder, and nervous system cancer.InterpretationAs the leading cause of overall disease burden in the world, with increasing global DALY counts, effective prevention, treatment, and rehabilitation strategies for disorders affecting the nervous system are needed

    Frecuencia de Neoplasias en Caninos en Quito, Ecuador

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    Statistical data of prevalence of neoplasms and risks in canines associated to age, sex and breed are not available in Quito, Ecuador. In the present study, 13 573 medical records from 2011 to 2014 were evaluated to identify animals diagnosed by cytology and histopathology as positive for some type of neoplasm. The prevalence of tumors in the population was 4.94%, and the most frequent location was in soft tissues (39.3%), skin and annexes (24.4%) and in females, in the mammary gland (14.3%). The relative risk of developing tumors was four times higher in animals older than 6 years of age; moreover, the predisposition of males to develop tumours skin and annexes was two times higher than in females. Purebred animals older than four years of age are up to 70% more likely to develop tumors than crossbred dogs of similar age.En Quito, Ecuador, no se dispone de información estadística sobre la prevalencia de neoplasias ni su riesgo asociado a edad, sexo y raza de los caninos. En el presente estudio, a partir de 13 573 historias clínicas recabadas entre 2011 y 2014 se identificaron los animales que fueron diagnosticados mediante citología e histopatología como positivos a algún tipo de neoplasia. La prevalencia de tumoraciones en la población fue de 4.94%, siendo más frecuente en tejidos blandos (39.3%), piel y anexos (24.4%) y en hembras, en la glándula mamaria (14.3%). El riesgo relativo de desarrollar tumores fue cuatro veces mayor en animales de seis o más años de edad; asimismo, los machos son dos veces más predisponentes que las hembras a presentar tumoraciones en piel y anexos. Los animales de razas puras y mayores de cuatro años tendrían hasta 70% mayor probabilidad de desarrollar tumores que animales mestizos de edad similar

    Appendix H. A figure showing temporal changes in species richness (Margalef´s index d), evenness (Pielou´s evenness index J') and diversity (Shannon-Wiener diversity index H').

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    A figure showing temporal changes in species richness (Margalef´s index d), evenness (Pielou´s evenness index J') and diversity (Shannon-Wiener diversity index H')

    Appendix E. A table showing the results of a repeated-measures ANOVA on the effect of treatment and site on the abundance of functional groups of algae.

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    A table showing the results of a repeated-measures ANOVA on the effect of treatment and site on the abundance of functional groups of algae
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